Results 101 to 110 of about 4,831,666 (266)
Unsigned Distance Functions (UDFs) can be used to represent non-watertight surfaces in a deep learning framework. However, UDFs tend to be brittle and difficult to learn, in part because the surface is located exactly where the UDF is non-differentiable.
Le, Hieu +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Natural Gas Pricing Based On Social Costs of Carbon: A Case Study of Kerman Province
برنامهریزی و بودجه, 2019 Due to the increasing demand for natural gas and its benefit of producing less carbon compared to other fossil fuels, pricing the natural gas based on the social expenses is becoming necessary more than ever. Accordingly, presenting models that enable us
Zeinolabedin Sadeghi +2 more
doaj
Sets of tetrahedra, defined by maxima of distance functions
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2012 We study tetrahedra and the space of tetrahedra from the viewpoint of local and global maxima for intrinsic distance ...
Rouyer Joël, Vîlcu Costin
doaj +1 more source
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator [PDF]
The purpose of this contribution is to highlight an underexplored property of the directional distance function, a recently introduced generalization of the Shephard distance function.
Kristiaan Kerstens, Walter Briec
core
Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells
Molecular Oncology, EarlyView.We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller +17 more
wiley +1 more source
Molecular Oncology, EarlyView.The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola +12 more
wiley +1 more source
Computing Hamming Distance and Levenshtein Distance Using ReLU Neural Networks
IEEE AccessMeasuring the similarity or difference of two strings is a fundamental task in computer science and engineering. Among the various measures, Hamming distance and Levenshtein distance have been widely utilized.
Masahiro Ohtomo +2 more
doaj +1 more source
A Remark on Bures Distance Function Remark on Bures Distance Function
Publications of the Research Institute for Mathematical Sciences, 1970 An inequality between the norm of the difference of two vector states of a W * -algebra and the infimum distance between vectors representing the states in a fixed representation is derived.
openaire +2 more sources